AWS engineers demonstrated troubleshooting agentic AI using OpenTelemetry and OpenSearch to gain insights into system performance and data before and during production.…
A developer evaluates six LLM observability tools—Helicone, LangSmith, Langfuse, Future AGI, and Braintrust—for debugging hallucinated answers in production. The key requirement is the ability to quic…
Immersive Fusion released TraceGen, a single-binary distributed trace generator that produces realistic OpenTelemetry traces and correlated logs for up to 28 services, including AI agentic scenarios w…
Ryan, CTO at airCloset, details how his team shaped observability for AI consumption by splitting monitoring into four axes—application, infrastructure, CI, and LLM—each with a tailored data shape, us…
LogicMonitor faces growing competition from alternatives like SigNoz, Datadog, and Dynatrace as organizations seek cost-effective, flexible monitoring solutions. SigNoz offers a free open-source optio…
Ryan Tsuji, CTO at airCloset, designed a shaped observability stack for AI consumption by splitting monitoring into four axes—application, infrastructure, CI, and LLM—each with its own data shape. The…
The Open Source Technology Improvement Fund announced the completion of a security audit of Cortex, an open-source storage for Prometheus and OpenTelemetry. Conducted by Quarkslab and supported by the…
SigNoz and OpenTelemetry enable distributed tracing in a Golang application with three microservices, using OpenTelemetry Go SDK for instrumentation and OTLP export to SigNoz for visualization. The op…
Ovasabi Foundation, a full-stack application substrate for high-performance event-driven systems, has been released as an open-source toolkit. It offers tenant-isolated architecture, seven performance…
The Cloud Native Computing Foundation (CNCF) has elevated OpenTelemetry to its highest maturity level, graduating the project as production-ready for enterprise use. The milestone recognizes OpenTelem…
Organizations rushing to deploy AI in production are finding that traditional software monitoring tools fail to address AI-specific failures like drift, hallucination, and degradation. Current AI obse…
ClickStack reworked its observability schemas using a benchmark-driven process that combined primary key redesign, text indexes, query rewrites, materialized views, and new ClickHouse features, reduci…
Pydantic Logfire and other observability platforms are shipping MCP servers, CLIs, and SDKs that allow AI agents to directly inspect traces, logs, prompts, evals, and dashboards, shifting the focus fr…
The Model Context Protocol's 2026-07-28 release candidate eliminates session-based architecture, removing the Mcp-Session-Id, initialize handshake, and sticky routing requirements. The change forces M…
A developer built Ballast, an open-source reliability layer for AI agents that sits on top of OpenTelemetry. While OpenTelemetry captures telemetry like token counts and latency, Ballast adds reliabil…
A new open-source tool called World Model Harness (wmh) uses frontier LLMs to simulate agent environments from OpenTelemetry traces, replacing traditional sandboxes. The tool ingests recorded state-ac…
SigNoz and OpenTelemetry have been integrated to provide observability for Claude Code, an AI coding assistant, enabling teams to monitor token usage, costs, performance, and user behavior. The pipeli…
SigNoz, Langfuse, and Arize Phoenix lead the top LLM observability tools in 2026, offering capabilities such as full-stack monitoring, agent workflow debugging, and drift detection. The tools converge…
A developer built a multi-agent customer support system on Azure AI Foundry and NVIDIA NIM, learning nine hard-won lessons. Key findings include that token cost varies 5-10x by model, verbatim caching…
Honeycomb released a technical guide on instrumenting AI agents with OpenTelemetry's GenAI semantic conventions to enable debugging via the Agent Timeline, which captures tool calls, multi-agent hando…